Some resources on programming, computer science vs engineering, optimization:
Considering how modern CPUs work in the implementation of algorithms (vs theoretical, pure C.S. analysis)
- https://www.aristeia.com/TalkNotes/codedive-CPUCachesHandouts.pdf
- https://www.akkadia.org/drepper/cpucache-slides.pdf
- http://highscalability.com/numbers-everyone-should-know
- https://github.com/sirupsen/napkin-math
- https://computers-are-fast.github.io/
- https://colin-scott.github.io/personal_website/research/interactive_latency.html
- https://cs.dartmouth.edu/~sergey/cs258/ABI/UlrichDrepper-How-To-Write-Shared-Libraries.pdf
- https://www.akkadia.org/drepper/goodpractice.pdf
- https://www.akkadia.org/drepper/
- https://www.agner.org/
- https://mechanical-sympathy.blogspot.com/
- https://eli.thegreenplace.net/
- https://nullprogram.com/about/
- https://www.lemire.me/en/
- https://drewdevault.com/
- https://c9x.me/
- https://fgiesen.wordpress.com/
- https://apenwarr.ca/log/
- https://solhsa.com/index.html
- https://guide.handmade-seattle.com/
- https://research.swtch.com/
- https://prog21.dadgum.com/